Add first version of app

.gitignore

@@ -225,3 +225,5 @@ uploads/
 downloads/
 temp/
 cache/
+
+.claude

requirements.txt

@@ -1,2 +1,9 @@
-huggingface_hub==0.25.2
-fireworks-ai
+huggingface_hub==0.34.3
+fireworks-ai==0.19.18
+gradio==5.41.1
+beautifulsoup4==4.13.4
+lxml==6.0.0
+python-dotenv==1.0.0
+requests==2.31.0
+aiohttp==3.9.5
+aiofiles==23.2.0

src/app.py

@@ -1,64 +1,513 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import json
+from datetime import datetime
+from typing import List, Dict, Any
+import random
+import os
+from dotenv import load_dotenv
+from pathlib import Path
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+load_dotenv()
+_FILE_PATH = Path(__file__).parents[1]
 
+# Mock data for demo purposes
+MOCK_FOMC_MEETINGS = [
+    {
+        "date": "2024-07-31",
+        "title": "Minutes of the Federal Open Market Committee July 30-31, 2024",
+        "rate_decision": "5.25-5.50%",
+        "summary": "The Committee maintained the federal funds rate target range at 5.25-5.50%. Inflation has eased over the past year but remains elevated."
+    },
+    {
+        "date": "2024-06-12",
+        "title": "Minutes of the Federal Open Market Committee June 11-12, 2024",
+        "rate_decision": "5.25-5.50%",
+        "summary": "The Committee held rates steady as inflation showed signs of cooling but labor market remained robust."
+    },
+    {
+        "date": "2024-05-01",
+        "title": "Minutes of the Federal Open Market Committee April 30-May 1, 2024",
+        "rate_decision": "5.25-5.50%",
+        "summary": "Officials maintained current rates while monitoring inflation progress and employment data."
+    }
+]
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+def simulate_llm_function_call(user_message: str, selected_model: str) -> Dict[str, Any]:
+    """Simulate LLM function calls based on user intent"""
+    message_lower = user_message.lower()
+    
+    # Determine which function to call
+    if any(word in message_lower for word in ['rate', 'decision', 'interest']):
+        return {
+            "function": "get_rate_decision",
+            "reasoning": [
+                "User is asking about interest rate decisions",
+                "Analyzing FOMC meeting minutes for rate changes",
+                "Extracting rate decisions from recent meetings"
+            ],
+            "result": "Based on the July 2024 FOMC meeting, the federal funds rate was maintained at 5.25-5.50%. This represents no change from the previous meeting in June 2024.",
+            "confidence": 0.95,
+            "sources": ["FOMC Minutes July 30-31, 2024"]
+        }
+    elif any(word in message_lower for word in ['compare', 'difference', 'between']):
+        return {
+            "function": "compare_meetings", 
+            "reasoning": [
+                "User wants to compare different FOMC meetings",
+                "Identifying meetings from specified time periods",
+                "Analyzing key differences in tone and decisions"
+            ],
+            "result": "Comparing July 2024 vs June 2024 meetings: Both maintained rates at 5.25-5.50%. Key difference: July meeting showed increased confidence in inflation trajectory, while June emphasized continued vigilance.",
+            "confidence": 0.88,
+            "sources": ["FOMC Minutes July 30-31, 2024", "FOMC Minutes June 11-12, 2024"]
+        }
+    elif any(word in message_lower for word in ['search', 'find', 'about', 'topic']):
+        return {
+            "function": "search_topic",
+            "reasoning": [
+                "User is searching for specific topics in Fed minutes", 
+                "Performing contextual search across meeting transcripts",
+                "Ranking results by relevance and date"
+            ],
+            "result": f"Found relevant discussions about '{user_message}' in recent FOMC meetings. The topic appeared most prominently in discussions about economic outlook and policy considerations.",
+            "confidence": 0.82,
+            "sources": ["FOMC Minutes July 30-31, 2024", "FOMC Minutes May 1, 2024"]
+        }
+    else:
+        return {
+            "function": "general_analysis",
+            "reasoning": [
+                "Providing general analysis of Fed policy",
+                "Drawing from recent FOMC meeting minutes",
+                "Contextualizing current monetary policy stance"
+            ],
+            "result": f"Based on recent FOMC meetings, I can help analyze Fed policy. The current federal funds rate is 5.25-5.50%, maintained since July 2023. Recent meetings suggest officials are closely monitoring inflation data while remaining data-dependent on future decisions.",
+            "confidence": 0.78,
+            "sources": ["Recent FOMC Minutes"]
+        }
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+def format_response_with_reasoning(function_result: Dict[str, Any], model_name: str) -> str:
+    """Format the response with expandable reasoning sections"""
+    reasoning_steps = "\n".join([f"• {step}" for step in function_result["reasoning"]])
+    
+    response = f"""
+**🔍 Function Called:** `{function_result["function"]}`
+**🤖 Model Used:** {model_name}
+**📊 Confidence:** {function_result["confidence"]:.0%}
 
-    messages.append({"role": "user", "content": message})
+**💡 Analysis Result:**
+{function_result["result"]}
 
-    response = ""
+<details>
+<summary><b>🧠 Reasoning Chain (Click to expand)</b></summary>
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+{reasoning_steps}
 
-        response += token
+**📚 Sources:**
+{chr(10).join([f"• {source}" for source in function_result["sources"]])}
+
+</details>
+"""
+    return response
+
+def respond(
+    message: str,
+    history: list[tuple[str, str]],
+    api_key: str,
+):
+    """Enhanced response function with Fed AI Savant capabilities using OAI OSS 120B"""
+    
+    if not message.strip():
+        yield "Please enter a question about Federal Reserve policy or FOMC meetings."
+        return
+    
+    if not api_key.strip():
+        yield "❌ Please enter your AI API key in the configuration panel to use the Fed AI Savant."
+        return
+    
+    # Fixed model for Fed AI Savant
+    model_name = "OAI OSS 120B"
+    
+    # Simulate function call and reasoning
+    function_result = simulate_llm_function_call(message, model_name)
+    
+    # Format response with reasoning chain
+    formatted_response = format_response_with_reasoning(function_result, model_name)
+    
+    # Simulate streaming response
+    response = ""
+    for char in formatted_response:
+        response += char
         yield response
+        # Small delay to simulate streaming
+        import time
+        time.sleep(0.01)
 
+def get_fomc_meetings_sidebar():
+    """Generate sidebar content with FOMC meeting details"""
+    sidebar_content = "## 📋 Recent FOMC Meetings\n\n"
+    
+    for meeting in MOCK_FOMC_MEETINGS:
+        sidebar_content += f"""
+**{meeting['date']}**
+*{meeting['title'][:50]}...*
+- **Rate:** {meeting['rate_decision']}
+- **Summary:** {meeting['summary'][:100]}...
 
+---
 """
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
+    return sidebar_content
+
+def process_audio_input(audio_file):
+    """Process audio input and convert to text"""
+    if audio_file is None:
+        return "No audio recorded. Please try again."
+    
+    # Simulate speech-to-text conversion
+    # In a real implementation, you'd use libraries like openai-whisper, speech_recognition, etc.
+    simulated_transcripts = [
+        "What was the federal funds rate decision in the last meeting?",
+        "Compare the June and July FOMC meetings",
+        "Tell me about inflation expectations",
+        "What factors influenced recent policy decisions?",
+        "Has the Fed's employment stance changed?"
+    ]
+    
+    import random
+    return random.choice(simulated_transcripts)
+
+def text_to_speech(text):
+    """Convert text response to speech"""
+    # Simulate text-to-speech functionality
+    # In a real implementation, you'd use libraries like pyttsx3, gTTS, or cloud TTS services
+    
+    # Clean the text for better TTS (remove markdown formatting)
+    import re
+    clean_text = re.sub(r'\*\*.*?\*\*', '', text)  # Remove bold markdown
+    clean_text = re.sub(r'`.*?`', '', clean_text)  # Remove code formatting
+    clean_text = re.sub(r'<.*?>', '', clean_text)  # Remove HTML tags
+    clean_text = re.sub(r'[#•]', '', clean_text)  # Remove special characters
+    clean_text = ' '.join(clean_text.split())  # Clean whitespace
+    
+    # For demo purposes, return a message about TTS
+    return f"🔊 Text-to-Speech: Would read aloud the response (length: {len(clean_text)} characters)"
+
+# Custom CSS for better styling
+custom_css = """
+.gradio-container {
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+}
+.chat-message {
+    border-radius: 10px;
+    padding: 10px;
+    margin: 5px 0;
+}
+.function-call {
+    background-color: #f0f8ff;
+    border-left: 4px solid #1e88e5;
+    padding: 10px;
+    margin: 10px 0;
+    border-radius: 5px;
+}
 """
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
 
+# Model options for dropdown
+MODEL_OPTIONS = [
+    "Claude 3.5 Sonnet",
+    "GPT-4 Turbo", 
+    "Llama 3.1 70B",
+    "Gemini Pro 1.5",
+    "Mixtral 8x7B"
+]
+
+# Function to create searchable FOMC meetings accordion
+def create_fomc_meetings_accordion():
+    """Create searchable accordion for FOMC meetings"""
+    accordions = []
+    for meeting in MOCK_FOMC_MEETINGS:
+        title = f"{meeting['date']} - Rate: {meeting['rate_decision']}"
+        content = f"""
+**Meeting Title:** {meeting['title']}
+
+**Rate Decision:** {meeting['rate_decision']}
+
+**Summary:** {meeting['summary']}
+
+---
+*Click to expand for full meeting details*
+        """
+        accordions.append((title, content))
+    return accordions
+
+# Create the enhanced interface
+with gr.Blocks(css=custom_css, title="Fed AI Savant", theme=gr.themes.Soft()) as demo:
+    
+    # Row 1: Title and Description
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("""
+            # 🏛️ Fed AI Savant
+            **Intelligent Analysis of Federal Reserve Policy and FOMC Meetings**
+            
+            Ask questions about interest rate decisions, monetary policy changes, and economic analysis based on Federal Reserve meeting minutes.
+            """)
+    
+    # Row 2: API Key Configuration
+    with gr.Row():
+        with gr.Column(scale=2):
+            gr.Markdown("### 🔐 Configuration")
+            api_key = gr.Textbox(
+                label="AI API Key",
+                type="password",
+                placeholder="Enter your OpenAI, Anthropic, or other AI API key",
+                value=os.getenv("OPENAI_API_KEY", ""),
+                info="💡 Your API key is required to analyze Fed policy using AI"
+            )
+        with gr.Column(scale=3):
+            gr.Markdown("### 📋 How to Use")
+            gr.Markdown("""
+            1. **Enter your AI API key** (OpenAI, Anthropic, etc.)
+            2. **Ask questions** about Fed policy, rate decisions, or FOMC meetings  
+            3. **Review AI reasoning** with expandable explanations and sources
+            4. **Use voice input** by clicking the microphone button
+            """)
+    
+    # Row 3: FOMC Meetings Accordion (Searchable by Date)
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("### 📊 Recent FOMC Meeting Minutes")
+            
+            # Date search
+            date_search = gr.Textbox(
+                placeholder="Search by date (e.g., 2024-07, July 2024)...",
+                label="🔍 Search Meetings by Date",
+                lines=1
+            )
+            
+            # Meetings accordion
+            with gr.Accordion("Recent FOMC Meetings", open=False):
+                meetings_accordion = gr.HTML("""
+                <div style="space-y: 8px;">
+                    <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                        <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                            📅 2024-07-31 - Rate: 5.25-5.50%
+                        </summary>
+                        <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                            <p><strong>Meeting:</strong> Minutes of the Federal Open Market Committee July 30-31, 2024</p>
+                            <p><strong>Decision:</strong> 5.25-5.50%</p>
+                            <p><strong>Summary:</strong> The Committee maintained the federal funds rate target range at 5.25-5.50%. Inflation has eased over the past year but remains elevated.</p>
+                        </div>
+                    </details>
+                    
+                    <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                        <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                            📅 2024-06-12 - Rate: 5.25-5.50%
+                        </summary>
+                        <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                            <p><strong>Meeting:</strong> Minutes of the Federal Open Market Committee June 11-12, 2024</p>
+                            <p><strong>Decision:</strong> 5.25-5.50%</p>
+                            <p><strong>Summary:</strong> The Committee held rates steady as inflation showed signs of cooling but labor market remained robust.</p>
+                        </div>
+                    </details>
+                    
+                    <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                        <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                            📅 2024-05-01 - Rate: 5.25-5.50%
+                        </summary>
+                        <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                            <p><strong>Meeting:</strong> Minutes of the Federal Open Market Committee April 30-May 1, 2024</p>
+                            <p><strong>Decision:</strong> 5.25-5.50%</p>
+                            <p><strong>Summary:</strong> Officials maintained current rates while monitoring inflation progress and employment data.</p>
+                        </div>
+                    </details>
+                </div>
+                """)
+    
+    # Row 4: Chat Interface with Audio
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("### 💬 Fed AI Assistant")
+            
+            # Example questions (moved above chat)
+            gr.Markdown("### 💡 Example Questions")
+            with gr.Row():
+                example1 = gr.Button("What was the rate decision in the last FOMC meeting?", variant="secondary", size="sm")
+                example2 = gr.Button("Compare June 2024 vs July 2024 FOMC meetings", variant="secondary", size="sm")
+            with gr.Row():
+                example3 = gr.Button("Tell me about inflation expectations", variant="secondary", size="sm")
+                example4 = gr.Button("What factors influenced recent policy decisions?", variant="secondary", size="sm")
+            
+            # Chat interface
+            chatbot = gr.Chatbot(
+                label="Fed AI Assistant",
+                height=400,
+                show_label=False,
+                avatar_images=(None, None)
+            )
+            
+            # Input row with text and audio button (larger text, smaller button)
+            with gr.Row():
+                with gr.Column(scale=10):
+                    msg = gr.Textbox(
+                        placeholder="Ask about Fed policy, rate decisions, or FOMC meetings...",
+                        label="Your Question",
+                        lines=2,
+                        show_label=False
+                    )
+                with gr.Column(scale=1):
+                    # Audio components
+                    audio_input = gr.Audio(
+                        label="🎙️ Voice Input",
+                        sources=["microphone"],
+                        type="filepath",
+                        visible=False
+                    )
+                    voice_btn = gr.Button("🎙️", variant="secondary", size="sm", min_width=40)
+    
+    # Chat functionality
+    def user_message(message, history):
+        return "", history + [[message, None]]
+    
+    def bot_response(history, api_key_val):
+        if history and history[-1][1] is None:
+            user_msg = history[-1][0]
+            bot_msg = ""
+            
+            # Get the response generator with simplified parameters
+            response_gen = respond(user_msg, history[:-1], api_key_val)
+            
+            for partial_response in response_gen:
+                bot_msg = partial_response
+                history[-1][1] = bot_msg
+                yield history
+    
+    msg.submit(
+        user_message, 
+        [msg, chatbot], 
+        [msg, chatbot], 
+        queue=False
+    ).then(
+        bot_response,
+        [chatbot, api_key],
+        chatbot
+    )
+    
+    # Voice functionality
+    def toggle_audio_input():
+        return gr.Audio(visible=True)
+    
+    def handle_audio_input(audio_file):
+        if audio_file:
+            transcribed_text = process_audio_input(audio_file)
+            return transcribed_text, gr.Audio(visible=False)
+        return "", gr.Audio(visible=False)
+    
+    def handle_tts(history):
+        if history and len(history) > 0 and history[-1][1]:
+            last_response = history[-1][1]
+            tts_message = text_to_speech(last_response)
+            return tts_message
+        return "No response to read aloud."
+    
+    # Search functionality for FOMC meetings
+    def search_meetings(search_term):
+        """Filter FOMC meetings based on search term"""
+        if not search_term.strip():
+            # Return all meetings if no search term
+            html_content = """
+            <div style="space-y: 8px;">
+                <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                    <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                        📅 2024-07-31 - Rate: 5.25-5.50%
+                    </summary>
+                    <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                        <p><strong>Meeting:</strong> Minutes of the Federal Open Market Committee July 30-31, 2024</p>
+                        <p><strong>Decision:</strong> 5.25-5.50%</p>
+                        <p><strong>Summary:</strong> The Committee maintained the federal funds rate target range at 5.25-5.50%. Inflation has eased over the past year but remains elevated.</p>
+                    </div>
+                </details>
+                
+                <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                    <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                        📅 2024-06-12 - Rate: 5.25-5.50%
+                    </summary>
+                    <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                        <p><strong>Meeting:</strong> Minutes of the Federal Open Market Committee June 11-12, 2024</p>
+                        <p><strong>Decision:</strong> 5.25-5.50%</p>
+                        <p><strong>Summary:</strong> The Committee held rates steady as inflation showed signs of cooling but labor market remained robust.</p>
+                    </div>
+                </details>
+                
+                <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                    <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                        📅 2024-05-01 - Rate: 5.25-5.50%
+                    </summary>
+                    <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                        <p><strong>Meeting:</strong> Minutes of the Federal Open Market Committee April 30-May 1, 2024</p>
+                        <p><strong>Decision:</strong> 5.25-5.50%</p>
+                        <p><strong>Summary:</strong> Officials maintained current rates while monitoring inflation progress and employment data.</p>
+                    </div>
+                </details>
+            </div>
+            """
+        else:
+            # Filter meetings based on search term
+            filtered_meetings = []
+            search_lower = search_term.lower()
+            
+            for meeting in MOCK_FOMC_MEETINGS:
+                # Search in date, title, or summary
+                if (search_lower in meeting['date'].lower() or
+                    search_lower in meeting['title'].lower() or 
+                    search_lower in meeting['summary'].lower() or
+                    search_lower in meeting['rate_decision'].lower()):
+                    filtered_meetings.append(meeting)
+            
+            if filtered_meetings:
+                html_content = '<div style="space-y: 8px;">'
+                for meeting in filtered_meetings:
+                    html_content += f"""
+                    <details style="border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-bottom: 8px;">
+                        <summary style="font-weight: 600; cursor: pointer; color: #1f2937;">
+                            📅 {meeting['date']} - Rate: {meeting['rate_decision']}
+                        </summary>
+                        <div style="margin-top: 12px; padding-top: 12px; border-top: 1px solid #e5e7eb;">
+                            <p><strong>Meeting:</strong> {meeting['title']}</p>
+                            <p><strong>Decision:</strong> {meeting['rate_decision']}</p>
+                            <p><strong>Summary:</strong> {meeting['summary']}</p>
+                        </div>
+                    </details>
+                    """
+                html_content += '</div>'
+            else:
+                html_content = f'<p style="color: #6b7280; text-align: center; padding: 20px;">No meetings found matching "{search_term}"</p>'
+        
+        return html_content
+    
+    # Wire up search functionality
+    date_search.change(
+        search_meetings,
+        inputs=date_search,
+        outputs=meetings_accordion
+    )
+    
+    # Wire up voice buttons
+    voice_btn.click(
+        toggle_audio_input,
+        outputs=audio_input
+    )
+    
+    audio_input.change(
+        handle_audio_input,
+        inputs=audio_input,
+        outputs=[msg, audio_input]
+    )
+    
+    # Wire up example question buttons
+    example1.click(lambda: "What was the rate decision in the last FOMC meeting?", outputs=msg)
+    example2.click(lambda: "Compare June 2024 vs July 2024 FOMC meetings", outputs=msg)
+    example3.click(lambda: "Tell me about inflation expectations", outputs=msg)
+    example4.click(lambda: "What factors influenced recent policy decisions?", outputs=msg)
 
 if __name__ == "__main__":
     demo.launch()