Initial Commit - Added all files needed

app.py

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+import whisper
+import gradio as gr
+import datetime
+
+model = whisper.load_model('base')
+
+
+
+def transcribe(inputs , timestamp):
+    if inputs is None:
+          raise gr.Error("No audio file submitted! Please upload or record an audio file before submitting your request.")
+    output = ""
+    result = model.transcribe(inputs)
+    if timestamp == "Yes":
+      for indx, segment in enumerate(result['segments']):
+        output += str(datetime.timedelta (seconds=segment['start'])) +" "+ str(datetime.timedelta (seconds=segment['end'])) + "\n"
+        output += segment['text'].strip() + '\n'
+    else:
+      output = result["text"]
+
+    return  output
+
+
+
+
+interface = gr.Interface(
+    fn=transcribe,
+    inputs=[gr.Audio(sources=["upload"],type="filepath"),
+            gr.Radio(["Yes", "No"], label="Timestamp", info="Displays with timestamp if needed."),],
+    outputs="text",
+    title="Whisper Large V3: Transcribe Audio",
+    description=(
+        "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the OpenAI Whisper API"
+    )
+)
+
+interface.launch()

requirements.txt

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+gradio==4.36.1
+openai-whisper==20231117
+numpy