Another update to fix deployment challenge occurs on Huggingface

app.py

@@ -2,56 +2,60 @@ from ailab_crs import NLP_tasks_crs, Prompt_engineering_crs
 import gradio as gr
 from googletrans import LANGUAGES 
 
-supported_langs = list(LANGUAGES.values())
-nlp_tasks = NLP_tasks_crs()  # Instantiate your NLP tasks
-
-# Define Gradio app at the global level
-with gr.Blocks() as demo:
-    gr.Markdown("# 🧠NaanhAI💡")
-            
-    with gr.Row():
-        with gr.Column():
-            text = gr.Textbox(label="Your Query", lines=8)
-        with gr.Column():
-            with gr.Accordion("Other Parameters For Translation or Summarization Tasks", open=True):
-                language = gr.Dropdown(choices=supported_langs, label="Select Target Language", value="english")
-                style = gr.Textbox(label="Choose Your Style", value="polite")
-                # Alternatively: style = gr.Dropdown(choices=["polite", "sad", "happy", "scientific", "religious"], value="polite")
-
-    with gr.Row(scale=5):
-        with gr.Column(scale=1, min_width=1):
-            btn = gr.Button("Q&A")
-        with gr.Column(scale=2, min_width=1):
-            btn1 = gr.Button("Translator")
-        with gr.Column(scale=2, min_width=1):
-            btn2 = gr.Button("Summarizer")
-        with gr.Column(scale=2, min_width=1):
-            btn3 = gr.Button("Translator_Summarizer")
-
-    answer = gr.Textbox(label="AI Answer", lines=2)
-
-    # Connect buttons to functions
-    btn.click(
-        fn=nlp_tasks.question_answer,
-        inputs=text,
-        outputs=answer
-    )
-    btn1.click(
-        fn=nlp_tasks.translator,
-        inputs=[text, language, style],
-        outputs=answer
-    )
-    btn2.click(
-        fn=nlp_tasks.summarization,
-        inputs=text,
-        outputs=answer
-    )
-    btn3.click(
-        fn=nlp_tasks.translator_summarization,
-        inputs=[text, language, style],
-        outputs=answer
-    )
-
-# Optional local launch
+
+
+def main():
+    
+    nlp_tasks = NLP_tasks_crs()
+    supported_langs = list(LANGUAGES.values())
+
+    with gr.Blocks() as demo:
+        gr.Markdown("# 🧠 NaanAI 💡")
+                
+        with gr.Row():
+            with gr.Column():
+                text = gr.Textbox(label="Your Query", lines=8)
+            with gr.Column():
+                with gr.Accordion("Other Parameters (For Translation or Summarization Tasks)", open= True):
+                    # language = gr.Textbox(label="Language")
+                    language = gr.Dropdown(choices=supported_langs, label="Select Target Language", value="english")
+                    style = gr.Textbox(label="Choose Your Style", value="polite")
+        
+        with gr.Row(scale=5):
+            with gr.Column(scale=1, min_width=1):
+                btn = gr.Button("Q&A")
+            with gr.Column(scale=2, min_width=1):
+                btn1 = gr.Button("Translator")
+            with gr.Column(scale=2, min_width=1):
+                btn2 = gr.Button("Summarizer")
+            with gr.Column(scale=2, min_width=1):
+                btn3 = gr.Button("Translator_Summarizer")
+
+        answer = gr.Textbox(label="AI Answer", lines=2)
+
+        btn.click(
+            fn= nlp_tasks.question_answer,
+            inputs= text,
+            outputs=answer
+        )
+        btn1.click(
+            fn= nlp_tasks.translator,
+            inputs= [text, language, style],
+            outputs=answer
+        )
+        btn2.click(
+            fn= nlp_tasks.summarization,
+            inputs= text,
+            outputs=answer
+        )
+        btn3.click(
+            fn= nlp_tasks.translator_summarization,
+            inputs= [text, language, style],
+            outputs=answer
+        )
+
+    return demo.launch()     
+
+
 if __name__ == "__main__":
-    demo.launch(share = True)
+    main()

pyproject.toml

@@ -5,10 +5,12 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
+    "aiohttp>=3.13.2",
     "googletrans>=4.0.2",
     "gradio[mcp]>=6.0.1",
     "langchain>=1.1.0",
     "langchain-core>=1.1.0",
     "langchain-groq>=1.1.0",
     "python-dotenv>=1.2.1",
+    "requests>=2.32.5",
 ]

requirements.txt

@@ -4,4 +4,6 @@ python-dotenv
 langchain
 langchain-core
 googletrans
-gradio[mcp]
+gradio[mcp]
+requests
+aiohttp