asd

README.md

@@ -4,7 +4,7 @@ emoji: 🐠
 colorFrom: gray
 colorTo: green
 sdk: gradio
-sdk_version: 3.12.0
+sdk_version: 4.7.1
 app_file: app.py
 pinned: false
 license: apache-2.0

app.py

@@ -19,15 +19,13 @@ pipe = pipeline(model="Siphh/wablab2")
 psychologist_url = "https://raw.githubusercontent.com/rogoran/id2223kth.github.io/master/src/serverless-ml-intro/serverless-ml-lab/wine_images/360_F_169387942_tUJn9ADX31sRDFCuK9nlBuRR4gO6a1TK.jpg"
 IMG = Image.open(requests.get(psychologist_url, stream=True).raw)
 latest_messages = [{"role": "system", "content": "Du är en svensktalande psykolog."}]
-
+text = ""
 
 def transcribe(audio):
     if audio is None or audio == "":
         return
-    text = pipe(audio)
-    print(text)
-    return
-    return chat(text)
+    text = pipe(audio)["text"]
+    return chat(text), text
     
     
 def chat(prompt):
@@ -45,9 +43,10 @@ with gr.Blocks() as demo:
         with gr.Column():
             inp = gr.Audio(sources="microphone", type="filepath")
             btn = gr.Button("Send transcribed msg")
+            transcr_text = gr.Textbox(label="Din senaste fråga")
         with gr.Column():
             gr.Image(value=IMG, label="Doctor Amanda")
             out = gr.Textbox(label="Doctor Amandas answers")
-            btn.click(fn=transcribe, inputs=inp, outputs=out)
+            btn.click(fn=transcribe, inputs=inp, outputs=[out, transcr_text])
             
 demo.launch()