Update app.py

app.py

@@ -14,11 +14,13 @@ vocoder = SpeechT5HifiGan.from_pretrained("microsoft/speecht5_hifigan")
 speaker_embeddings = {
     "BDL": "spkemb/cmu_us_bdl_arctic-wav-arctic_a0009.npy",
     "CLB": "spkemb/cmu_us_clb_arctic-wav-arctic_a0144.npy",
+    "KSP": "spkemb/cmu_us_ksp_arctic-wav-arctic_b0087.npy",
+    "RMS": "spkemb/cmu_us_rms_arctic-wav-arctic_b0353.npy",
     "SLT": "spkemb/cmu_us_slt_arctic-wav-arctic_a0508.npy",
 }
 
 def getNews(search_key):
-    return requests.get ("https://newsapi.org/v2/everything?q=" +search_key+ "&pageSize=3&apiKey=3bca07c913ec4703a23f6ba03e15b30b").content.decode("utf-8")
+    return requests.get ("https://newsapi.org/v2/everything?q=" +search_key+ "&pagesize=3&apiKey=3bca07c913ec4703a23f6ba03e15b30b").content.decode("utf-8")
 #    return requests.get ("https://newsapi.org/v2/top-headlines?country=us&apiKey=3bca07c913ec4703a23f6ba03e15b30b").content.decode("utf-8" )
 
 def getHeadlines():
@@ -29,18 +31,18 @@ def predict(text, speaker):
     if len(text.strip()) == 0:
         return (16000, np.zeros(0).astype(np.int16))
 
-    #if Interest == "":
-    #    inputs = processor(text=getNews(Interest), 
-    #                       return_tensors="pt")
-    #else:
-        inputs = processor(text=getNews(text), 
-                           return_tensors="pt")
+    # text = getNews ()
+    # inputs = processor(text=text, return_tensors="pt")
+    inputs = processor(text=getNews(text), 
+                       return_tensors="pt")
 
     # limit input length
     input_ids = inputs["input_ids"]
     input_ids = input_ids[..., :model.config.max_text_positions]
+
     
-    speaker_embedding = np.load("spkemb/cmu_us_bdl_arctic-wav-arctic_a0009.npy")
+    speaker_embedding = np.load(speaker_embeddings[speaker[:3]])
+
     speaker_embedding = torch.tensor(speaker_embedding).unsqueeze(0)
 
     speech = model.generate_speech(input_ids, speaker_embedding, vocoder=vocoder)
@@ -72,17 +74,29 @@ examples = [
     ["It is not in the stars to hold our destiny but in ourselves.", "BDL (male)"],
     ["The octopus and Oliver went to the opera in October.", "CLB (female)"],
     ["She sells seashells by the seashore. I saw a kitten eating chicken in the kitchen.", "RMS (male)"],
+    ["Brisk brave brigadiers brandished broad bright blades, blunderbusses, and bludgeons—balancing them badly.", "SLT (female)"],
+    ["A synonym for cinnamon is a cinnamon synonym.", "BDL (male)"],
     ["How much wood would a woodchuck chuck if a woodchuck could chuck wood? He would chuck, he would, as much as he could, and chuck as much wood as a woodchuck would if a woodchuck could chuck wood.", "CLB (female)"],
 ]
 
 gr.Interface(
     fn=predict,
     inputs=[
-        gr.Text(label="keyword"),
-        gr.Radio(label="Interest", choices=[
-            "Minecraft",
+        gr.Text(label="Input Text"),
+        gr.Radio(label="Speaker", choices=[
+            "BDL (male)",
+            "CLB (female)",
+            "KSP (male)",
+            "RMS (male)",
+            "SLT (female)",
+            "Surprise Me!"
+        ],
+        value="BDL (male)"),
+
+        gr.Radio(label="Preset", choices=[
+            "US",
+            "International",
             "Technology",
-            "Politics",
             "KPop",
             "Surprise Me!"
         ],
@@ -96,3 +110,6 @@ gr.Interface(
     article=article,
     examples=examples,
 ).launch()
+
+
+