Update app.py

app.py

@@ -1,50 +1,52 @@
-import os
-import gradio as gr
-from patient_voice import transcribe_audio
-from doctor_voice import text_to_speech
-from main import analyze_image_with_query, encode_image_to_base64
-import re
-
-SYSTEM_PROMPT = """You have to act as a professional doctor, i know you are not but this is for learning purpose. 
-            What's in this image?. Do you find anything wrong with it medically? 
-            If you make a differential, suggest some remedies for them. Donot add any numbers or special characters in 
-            your response. Your response should be in one long paragraph. Also always answer as if you are answering to a real person.
-            Donot say 'In the image I see' but say 'With what I see, I think you have ....'
-            Dont respond as an AI model in markdown, your answer should mimic that of an actual doctor not an AI bot, 
-            Keep your answer concise (max 2 sentences). No preamble, start your answer right away please"""
-
-def process_inputs(audio_filepath, image_filepath):
-    # 1) STT
-    transcript = transcribe_audio(audio_filepath) or "⏺️ (no speech detected)"
-
-    # 2) Vision + LLM
-    if image_filepath:
-        img64 = encode_image_to_base64(image_filepath)
-        prompt = SYSTEM_PROMPT + " " + transcript
-        doctor_response = analyze_image_with_query(query=prompt, model="meta-llama/llama-4-scout-17b-16e-instruct", encoded_image=img64)
-    else:
-        doctor_response = "No image provided."
-
-    # 3) TTS
-
-    output_mp3 = "final.mp3"
-    text_to_speech(doctor_response, voice='CwhRBWXzGAHq8TQ4Fs17')  # writes output.mp3
-
-    return transcript, doctor_response, output_mp3
-
-iface = gr.Interface(
-    fn=process_inputs,
-    inputs=[
-        gr.Audio(sources=["microphone"], type="filepath"),
-        gr.Image(label="Medical Image", type="filepath")
-    ],
-    outputs=[
-        gr.Textbox(label="Transcription"),
-        gr.Textbox(label="Doctor’s Response"),
-        gr.Audio(label="Doctor’s Voice", type="filepath")
-    ],
-    title="Multimodal AI Doctor"
-)
-
-if __name__ == "__main__":
-    iface.launch(debug=True, share=False)
+import os
+import gradio as gr
+from patient_voice import transcribe_audio
+from doctor_voice import text_to_speech
+from main import analyze_image_with_query, encode_image_to_base64
+
+SYSTEM_PROMPT = """You have to act as a professional doctor, I know you are not but this is for learning purposes. 
+What's in this image? Do you find anything wrong with it medically? 
+If you make a differential, suggest some remedies for them. Do not add any numbers or special characters in 
+your response. Your response should be in one long paragraph. Also always answer as if you are answering a real person.
+Do not say 'In the image I see' but say 'With what I see, I think you have ....'
+Don’t respond as an AI model in markdown, your answer should mimic that of an actual doctor, not an AI bot. 
+Keep your answer concise (max 2 sentences). No preamble, start your answer right away please."""
+
+def process_inputs(audio_filepath, image_filepath):
+    # 1) Speech-to-Text
+    transcript = transcribe_audio(audio_filepath) or "⏺️ (no speech detected)"
+
+    # 2) Image + LLM Analysis
+    if image_filepath:
+        img64 = encode_image_to_base64(image_filepath)
+        prompt = SYSTEM_PROMPT + " " + transcript
+        doctor_response = analyze_image_with_query(
+            query=prompt,
+            model="meta-llama/llama-4-scout-17b-16e-instruct",
+            encoded_image=img64
+        )
+    else:
+        doctor_response = "No image provided."
+
+    # 3) Text-to-Speech Output
+    output_mp3 = "final.mp3"
+    text_to_speech(doctor_response, voice='CwhRBWXzGAHq8TQ4Fs17')  
+
+    return transcript, doctor_response, output_mp3
+
+iface = gr.Interface(
+    fn=process_inputs,
+    inputs=[
+        gr.Audio(sources=["microphone"], type="filepath"),
+        gr.Image(label="Medical Image", type="filepath")
+    ],
+    outputs=[
+        gr.Textbox(label="Transcription"),
+        gr.Textbox(label="Doctor’s Response"),
+        gr.Audio(label="Doctor’s Voice", type="filepath")
+    ],
+    title="Multimodal AI Doctor"
+)
+
+if __name__ == "__main__":
+    iface.launch(debug=True, share=False)