Update app.py

app.py

@@ -4,19 +4,10 @@ import openai
 import os
 openai.api_key = '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'
 
-# load model and processor
-
-model = whisper.load_model("medium")
+import whisper
+import gradio as gr
 
-def get_completion(prompt, model='gpt-3.5-turbo'):
-    messages = [{"role": "user", "content": prompt}]
-    response = openai.ChatCompletion.create(
-        model = model, 
-        messages = messages, 
-        temperature = 0, 
-        
-    ) 
-    return response.choices[0].message['content']
+model = whisper.load_model("small")
 
 def transcribe(audio):
     
@@ -38,51 +29,14 @@ def transcribe(audio):
     return result.text
     
     
-
-# gr.Interface(
-#     title = 'Talk to NP', 
-#     fn=transcribe, 
-#     inputs=[
-#         gr.inputs.Audio(source="microphone", type="filepath")
-#     ],
-#     outputs=[
-#         "textbox"
-#     ],
-#     live=True).launch()
-
-
-
-demo = gr.Blocks()
-
-with demo:
-    audio_file = gr.Audio(type="filepath")
-    text1 = gr.Textbox()
-    text2 = gr.Textbox()
-
-    prompt = f"""
-    You are a world class nurse practitioner. You are provided with text delimited by triple quotes. \
-    Summarize the text and put it in a table format with rows as follows: \ 
-        
-    1. Patient identification: 
-    2. Chief complaint: 
-    3. Medical history: 
-    4. Family history: 
-    5. Social history: 
-    6. Review of systems: 
-    7. Current medications: 
-    8. Vaccination status: 
-    9. Emotional well-being: 
-    10. Patient concerns and expectations: 
-    
-    \"\"\"{text1}\"\"\"
-    """
-
-    b1 = gr.Button("Transcribe audio")
-    b2 = gr.Button("Summarize")
-
-    b1.click(transcribe, inputs=audio_file, outputs=text1)
-    b2.click(get_completion, inputs=text1, outputs=text2)
-
-
-demo.launch()
-
+ 
+gr.Interface(
+    title = 'OpenAI Whisper ASR Gradio Web UI', 
+    fn=transcribe, 
+    inputs=[
+        gr.inputs.Audio(source="microphone", type="filepath")
+    ],
+    outputs=[
+        "textbox"
+    ],
+    live=True).launch()