Update app.py

app.py

@@ -41,11 +41,13 @@ def translate(text, src_lang, tgt_lang="eng_Latn"):
     )
     return translation_pipeline(text)[0]["translation_text"]
 
-def process_feedback(audio_np, language):
+def process_feedback(audio_np, language, sample_file):
+    if audio_np is None and sample_file:
+        audio_np, _ = sf.read(sample_file)
+
     if audio_np is None:
         return "No audio provided", None
 
-    # Transcribe
     model_name, src_lang = lang_map[language]
     transcriber = pipeline("automatic-speech-recognition", model=model_name)
     transcription = transcriber(audio_np)["text"]
@@ -53,10 +55,8 @@ def process_feedback(audio_np, language):
     if language != "English":
         transcription = translate(transcription, src_lang=src_lang)
 
-    # Summarize
     summary = summarizer(transcription, max_length=60, min_length=10, do_sample=False)[0]["summary_text"]
 
-    # Save record
     feedback_records.append({
         "timestamp": datetime.utcnow().isoformat(),
         "language": language,
@@ -64,7 +64,6 @@ def process_feedback(audio_np, language):
         "summary": summary
     })
 
-    # Word cloud
     feedback_words.extend(summary.lower().split())
     wordcloud_img = generate_wordcloud(feedback_words)
 
@@ -106,6 +105,18 @@ with demo:
         audio_input = gr.Audio(type="numpy", label="📤 Upload your feedback audio")
         lang_dropdown = gr.Dropdown(label="🌐 Language", choices=["English", "Hindi", "Telugu", "Tamil", "Kannada"], value="English")
 
+    with gr.Row():
+        sample_selector = gr.Dropdown(
+            label="🎧 Try with sample audio (optional)",
+            choices=[
+                "files/telugu.mp3",
+                "files/hindi.mp3",
+                "files/tamil.mp3",
+                "files/english.mp3"
+            ],
+            value=None
+        )
+
     with gr.Row():
         submit_btn = gr.Button("✅ Process Feedback")
 
@@ -117,7 +128,7 @@ with demo:
         export_btn = gr.Button("📁 Export Feedback to CSV")
         csv_file_output = gr.File(label="📄 Download CSV")
 
-    submit_btn.click(process_feedback, inputs=[audio_input, lang_dropdown], outputs=[summary_out, wordcloud_out])
+    submit_btn.click(process_feedback, inputs=[audio_input, lang_dropdown, sample_selector], outputs=[summary_out, wordcloud_out])
     export_btn.click(export_to_csv, inputs=[], outputs=csv_file_output)
 
 demo.launch()