Update app

app.py

@@ -0,0 +1,39 @@
+from transformers import pipeline
+import gradio as gr
+
+pipe = pipeline(model="matteocirca/whisper-small-it")
+# pipe = pipeline(model="openai/whisper-small")
+segments = []
+def audio2segments(audio,word):
+    global segments
+    if not segments:
+        segments = pipe(audio)["segments"]
+    elif not word:
+        return "No word detected"
+    else:
+        ranges = []
+        for s in segments:
+            if word in s['text'].replace(',',' , ').split(" "):
+                ranges.append((s['start'],s['end']))
+        res = ""
+        for i,r in enumerate(ranges):
+            res += f"{i}) {r[0]}-{r[1]}\n "
+        return res
+
+
+def find_segment():
+    global segments
+    res = ""
+
+
+iface = gr.Interface(
+    fn=audio2segments, 
+    inputs=[gr.Audio(sources=["microphone"], type="filepath"),"text"],
+    outputs="text",
+    title="Whisper Small Italian",
+    description="Realtime demo for Italian speech recognition using a fine-tuned Whisper small model.",
+)
+
+
+iface.launch()
+

requirements.txt

@@ -0,0 +1,2 @@
+transformers
+torch