added

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml

.idea/UzGPT-uz.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="Python 3.8 (UzGPT-uz)" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/Project_Default.xml

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+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyPackageRequirementsInspection" enabled="true" level="WARNING" enabled_by_default="true">
+      <option name="ignoredPackages">
+        <value>
+          <list size="3">
+            <item index="0" class="java.lang.String" itemvalue="onnxruntime-gpu" />
+            <item index="1" class="java.lang.String" itemvalue="opencv-python" />
+            <item index="2" class="java.lang.String" itemvalue="imread-from-url" />
+          </list>
+        </value>
+      </option>
+    </inspection_tool>
+  </profile>
+</component>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (UzGPT-uz)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/UzGPT-uz.iml" filepath="$PROJECT_DIR$/.idea/UzGPT-uz.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

app.py

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+import gradio as gr
+from transformers import pipeline
+from espnet2.bin.tts_inference import Text2Speech
+import warnings
+
+warnings.filterwarnings('ignore')
+
+
+def generateTextAndAudio(inputText, numGen):
+    # --- Generating the Text ---
+    # With the provided text from user, generate more text up to `numGen` tokens/sub-words
+    textOutput = textGenerator(inputText, max_length=numGen)
+    # The output of the text generator is a list of dictionaries, grab the first dictionary
+    # then get the generated text from the dictionary using the `generated_text` key
+    genText = textOutput[0]['generated_text']
+
+    print("-" * 75)
+    print("Input Text:", inputText)
+    print("Generated Text:", genText)
+    print("-" * 75)
+
+    # --- Generating the Audio ---
+    # With the newly generated text, generate some speech
+    audioOutput = audioGenerator(genText)
+    # Get the wav data
+    genAudio = audioOutput['wav']
+
+    # Return two things
+    # 1) Generated Text
+    # 2) 24k sampling rate, and the Generated Audio (wav) as numpy (instead of tensor)
+    return genText, (24000, genAudio.numpy())
+
+
+# Main
+textGenerator = pipeline('text-generation', model='rifkat/GPTuz')
+audioGenerator = Text2Speech.from_pretrained("espnet/kan-bayashi_ljspeech_joint_finetune_conformer_fastspeech2_hifigan")
+
+input1_textbox = gr.Textbox(label="Input text")
+input2_slider = gr.Slider(minimum=1, maximum=100, step=1, default=30, label="Number of words to generate")
+
+output1_textbox = gr.Textbox(label="Generated Text")
+output2_Audio = gr.Audio(label="Generated Audio")
+
+title = "Generate Text and its Audio!"
+description = "Provide the text, and how many subwords to generate"
+
+examples = [
+    ["Давлат хавфсизлик хизмати", 50],
+    ["Давлат хавфсизлик хизмати", 30],
+    ["Давлат хавфсизлик хизмати", 60]
+]
+article = "<p style='text-align: center'><img src='https://visitor-badge.glitch.me/badge?page_id=lilyf_generate_text_and_audio' alt='visitor badge'></p>"
+iface = gr.Interface(fn=generateTextAndAudio,
+                     inputs=[input1_textbox, input2_slider],
+                     outputs=[output1_textbox, output2_Audio],
+                     title=title,
+                     description=description,
+                     examples=examples,
+                     article=article).launch(debug=True)

requirements.txt

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+transformers==4.19.2
+gradio==3.0.2
+espnet_model_zoo==0.1.7