Create app.py

app.py

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+import requests
+from deep_translator import GoogleTranslator
+import gradio as gr
+import soundfile as sf
+
+def speech_translation(audio, language):
+    if audio is None:
+        return "No audio input provided!", "No audio input provided!"
+
+    # Convert audio to .wav format if not already
+    if not audio.endswith(".wav"):
+        wav_data, samplerate = sf.read(audio)
+        sf.write("temp_audio.wav", wav_data, samplerate)
+        audio_file = "temp_audio.wav" 
+    else:
+        audio_file = audio
+
+    # ASR processing 
+    files = {
+        'file': open(audio_file, "rb"),
+        'language': (None, language), 
+        'vtt': (None, 'true'),
+    }
+    response = requests.post('https://asr.iitm.ac.in/ssl_asr/decode', files=files)
+
+    print(response.json())
+    try:
+        asr_output = response.json()['transcript']
+    except:
+        asr_output = "Error in ASR processing"
+
+    asr_output = asr_output.replace("।", "")
+    asr_output = asr_output.replace(".", "")
+
+    
+    translator = GoogleTranslator(source=language, target='en')
+    translation = translator.translate(asr_output)
+
+
+    return translation
+
+iface = gr.Interface(
+    fn=speech_translation,
+    inputs=[
+        gr.Audio(type="filepath", label="Record your speech"),
+        gr.Dropdown(["telugu", "hindi", "marathi", "bengali"], label="Select Language")
+    ], 
+    outputs=["text"],
+    title="Speech Translation",
+    description="Record your speech and get the English translation.",
+)
+
+iface.launch(share=True)